Literature DB >> 12584037

Modeling elite male athletes' peripheral bone mass, assessed using regional dual x-ray absorptiometry.

A M Nevill1, R L Holder, A D Stewart.   

Abstract

There is still considerable debate as to whether bone mineral content (BMC) increases in proportion to the projected bone area, A(p), or an estimate of the skeletal bone volume, (A(p))(3/2), being assessed. The results from this study suggest that the bone mass acquisition of elite athletes' arms and legs increases in proportion to the projected bone area, A(p), having simultaneously controlled/removed the effect of the confounding variables of body mass and body fat. Although this supports the use of the traditional bone mineral density ratio (BMD=BMC/A(p)), it also highlights the dangers of overlooking the effect of known confounding variables. Ignoring the effect of such confounding variables, athletic groups whose activities involve upper body strength (rugby, rock climbing, kayaking, weight lifting) had the highest arm BMD, while runners were observed to have the lowest arm BMD (lower than that of the controls). Similarly, leg BMD was highest in rugby players, whose activities included both running and strength training. However, the rugby players were also observed to have the greatest body mass. When the important determinants of body mass, body fat, as well as projected bone area, A(p), were incorporated as covariates into a proportional allometric ANCOVA model for BMC, different conclusions were obtained. The introduction of these covariates had the effect of reducing the sporting differences on adjusted arm BMC, although the "sport" by "side" interaction still identified racket players as the only group with a greater dominant arm BMC (P < 0.05). In contrast, sporting differences in adjusted leg BMC remained highly significant, but with a rearranged hierarchy. The runners replaced the rugby players as having the greatest adjusted leg BMC. The results confirm the benefits of activity on peripheral bone mass as being site-specific but reinforce the dangers of making generalizations about the relative benefits of different exercises ignoring the effects of known confounding variables, such as body size, body composition, and age.

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Year:  2003        PMID: 12584037     DOI: 10.1016/s8756-3282(02)00927-4

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  9 in total

1.  Bone status in elite male runners.

Authors:  Wolfgang Kemmler; Klaus Engelke; Heiko Baumann; Carola Beeskow; Simon von Stengel; Jürgen Weineck; Willi A Kalender
Journal:  Eur J Appl Physiol       Date:  2005-10-26       Impact factor: 3.078

2.  Water polo is associated with an apparent redistribution of bone mass and density from the lower to the upper limbs.

Authors:  Stavros A Kavouras; Faidon Magkos; Mary Yannakoulia; Maria Perraki; Melina Karipidou; Labros S Sidossis
Journal:  Eur J Appl Physiol       Date:  2006-04-25       Impact factor: 3.078

Review 3.  Evidence for pleiotropic factors in genetics of the musculoskeletal system.

Authors:  David Karasik; Douglas P Kiel
Journal:  Bone       Date:  2010-02-10       Impact factor: 4.398

4.  Biomechanical evaluation of a medial knee reconstruction with comparison of bioabsorbable interference screw constructs and optimization with a cortical button.

Authors:  Coen A Wijdicks; Emily J Brand; David J Nuckley; Steinar Johansen; Robert F LaPrade; Lars Engebretsen
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2010-06-19       Impact factor: 4.342

5.  Double-bundle posterior cruciate ligament reconstruction: a biomechanical analysis of simulated early motion and partial and full weightbearing on common reconstruction grafts.

Authors:  William R Mook; David Civitarese; Travis Lee Turnbull; Nicholas I Kennedy; Luke O'Brien; Jarod B Schoeberl; Robert F LaPrade
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2016-03-21       Impact factor: 4.342

6.  Genetics of the musculoskeletal system: a pleiotropic approach.

Authors:  David Karasik; Douglas P Kiel
Journal:  J Bone Miner Res       Date:  2008-06       Impact factor: 6.741

7.  The Lichfield bone study: the skeletal response to exercise in healthy young men.

Authors:  Kyriacos I Eleftheriou; Jaikirty S Rawal; Anthony Kehoe; Laurence E James; John R Payne; James R Skipworth; Zudin A Puthucheary; Fotios Drenos; Dudley J Pennell; Mike Loosemore; Michael World; Steve E Humphries; Fares S Haddad; Hugh E Montgomery
Journal:  J Appl Physiol (1985)       Date:  2011-11-23

8.  Missense Mutations in LRP5 Associated with High Bone Mass Protect the Mouse Skeleton from Disuse- and Ovariectomy-Induced Osteopenia.

Authors:  Paul J Niziolek; Whitney Bullock; Matthew L Warman; Alexander G Robling
Journal:  PLoS One       Date:  2015-11-10       Impact factor: 3.240

9.  Relationship between Knee Muscle Strength and Fat/Muscle Mass in Elderly Women with Knee Osteoarthritis Based on Dual-Energy X-Ray Absorptiometry.

Authors:  Xini Zhang; Xiaoyu Pan; Liqin Deng; Weijie Fu
Journal:  Int J Environ Res Public Health       Date:  2020-01-16       Impact factor: 3.390

  9 in total

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